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DBT is a data transformation tool that allows teams to manage and document their data transformation workflows, ensuring that data analysts and engineers can work collaboratively on analytics engineering projects.
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Domain knowledge for dbt — workflow patterns, data models, and gotchas for your AI agent.
dbt Cloud manages data transformation projects, runs, and environments. account_id required for most calls.
Dbt Fetch Environments
Fetch a list of all environments set up for a specific account in DBT to manage and organize different data transformation contexts. Use this tool for environment-specific information such as IDs, names, and types, essential for configuring and testing workflows. Specify 'config["account_id"]' to ensure data is fetched for the correct account.
Dbt List Projects
Obtain a full list of analytics projects associated with a specific DBT account. This is useful for identifying all active and inactive data projects under management. Returns project metadata including project IDs, names, and creation dates. Use the 'config["account_id"]' parameter to filter the results according to your account.
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Browse all toolsDbt List Repositories
Access a collection of repositories linked to your DBT account, aiding in version control and organization of data models. Utilize this tool when you need an overview of your account's repositories. It returns details such as repository names, IDs, and URLs. Ensure you provide the 'config["account_id"]' parameter to specify the targeted account.
Dbt List Runs
Retrieve a list of all transformation runs within a specified DBT account. Use this tool to monitor execution statuses and troubleshoot failed runs in your analytics pipelines. It returns detailed run information, including status, duration, and trigger type, allowing you to track and optimize workflow performance. Specify the 'config["account_id"]' parameter to target the appropriate account.
Dbt List Users
List all users associated with a DBT account to manage access and collaboration within analytics projects. Employ this tool to get details like user names, IDs, and roles to facilitate team administration. Input the 'config["account_id"]' parameter to narrow the search to the relevant account.
DBT is a data transformation tool that allows teams to manage and document their data transformation workflows, ensuring that data analysts and engineers can work collaboratively on analytics engineering projects. It provides 5 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/dbt. Authentication is handled automatically.
dbt provides 5 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
dbt uses API Key or One-click sign in. dbt requires credentials. Connect via MCPBundles and authentication is handled automatically.
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